Triple
T38424579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Vincent Ferrer Seminary |
E903322
|
entity |
| Predicate | notableAlumnusPosition |
P25466
|
FINISHED |
| Object | Archbishop of Manila |
E847682
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Archbishop of Manila | Statement: [St. Vincent Ferrer Seminary, notableAlumnusPosition, Archbishop of Manila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAlumnusPosition Context triple: [St. Vincent Ferrer Seminary, notableAlumnusPosition, Archbishop of Manila]
-
A.
notableAlumniAchievement
Indicates that an alumnus is recognized for a significant achievement or distinction associated with their post-graduation activities.
-
B.
positionOfNotableAlumnus
chosen
Indicates the professional role or office held by a notable alumnus in relation to an institution or organization.
-
C.
notableAlumniRegion
Indicates that a region is known for having produced notable alumni associated with a particular institution or organization.
-
D.
notableHuman
Indicates that the subject is a human who is recognized as notable or significant in some context.
-
E.
notableStaffMember
Indicates that a person is a distinguished or prominent member of an organization's staff.
- F. None of above.
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41f42ba3c881908a681eb3ab6f9f65 |
completed | June 29, 2026, 4:27 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.